Haifeng Chen

Uncertainty-Aware Test-Time Search for Optimization Problem Solving ACL 2026 Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs ACL 2026 MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery AAAI 2026 Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning ACL 2026 Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage AAAI 2026 Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation EACL 2026 DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router EACL 2026 Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement EACL 2026 Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models ACL 2026 LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory ACL 2026 Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 2025 Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025 AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment CVPR 2025 Chain-of-region: Visual Language Models Need Details for Diagram Analysis ICLR 2025 Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming IJCAI 2025 SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025 Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors ICLR 2025 Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025 Evolutionary Large Language Model for Automated Feature Transformation AAAI 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025 Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model AAAI 2025 MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025 Uncertainty Propagation on LLM Agent ACL 2025 Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery ACL 2025 DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton ICML 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NIPS 2024 Distantly-Supervised Joint Extraction with Noise-Robust Learning ACL 2024 Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024 InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration EMNLP 2024 A Survey on Detection of LLMs-Generated Content EMNLP 2024 Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks ICLR 2024 DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text ICLR 2024 Parametric Augmentation for Time Series Contrastive Learning ICLR 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024 Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments IJCAI 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 Pruning as a Domain-specific LLM Extractor NAACL 2024 Open-ended Commonsense Reasoning with Unrestricted Answer Candidates EMNLP 2023 Personalized Federated Learning under Mixture of Distributions ICML 2023 Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023 Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data ACL 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings ICLR 2022 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph AAAI 2022 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling AAAI 2021 Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation EMNLP 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021 Unsupervised Concept Representation Learning for Length-Varying Text Similarity NAACL 2021 Multi-Task Recurrent Modular Networks AAAI 2021 InfoGCL: Information-Aware Graph Contrastive Learning NIPS 2021 Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction EMNLP 2021 Parameterized Explainer for Graph Neural Network NIPS 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 Heterogeneous Graph Matching Networks for Unknown Malware Detection IJCAI 2019 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection ICLR 2018 Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction IJCAI 2017 Link Prediction with Spatial and Temporal Consistency in Dynamic Networks IJCAI 2017